{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "time", "patch", "vulnerability", "patch number", "supported platform", "vulnerable system"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "capabilities", "discoverer", "vulnerability", "common vulnerabilities and exposures", "supported platform", "vulnerable system version"]}, {"event_type": "data breach", "trigger": true, "arguments": ["victim", "damage amount", "attacker", "tool", "attack pattern", "number of victim", "place", "number of data", "purpose", "compromised data"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "attack pattern", "place", "purpose", "victim", "tool", "damage amount", "time", "attacker"]}, {"event_type": "ransom", "trigger": true, "arguments": ["tool", "place", "victim", "payment method", "attack pattern", "time", "damage amount", "price"]}], "input": "A spoof email claiming to be from the HR department referring to the appraisal system was also very effective : nearly one in five clicked the link , and three - quarters provided more credentials , with a similar percentage going on to download a file ."}
{"patch vulnerability": [], "discover vulnerability": [], "data breach": [], "phishing": [{"trigger": "claiming to be", "arguments": {"trusted entity": ["the HR department", "the appraisal system"], "attack pattern": "NAN", "place": "NAN", "purpose": ["download a file", "provided more credentials"], "victim": "NAN", "tool": "A spoof email", "damage amount": "NAN", "time": "NAN", "attacker": "NAN"}}], "ransom": []}